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BMCBI
2007
194views more  BMCBI 2007»
13 years 8 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
BMCBI
2007
167views more  BMCBI 2007»
13 years 7 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
ISPAN
2009
IEEE
14 years 2 months ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
RECOMB
2004
Springer
14 years 8 months ago
Comparing in situ mRNA expression patterns of drosophila embryos
In situ staining of a target mRNA at several time points during the development of a D. melanogaster embryo gives one a detailed spatio-temporal view of the expression pattern of ...
Hanchuan Peng, Eugene W. Myers
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 1 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba